Angular 17: Trigger options for @defer

Yesterday, we introduced the new @defer bloc to lazy-load components on the screen. We saw that @defer includes several config options to display errors, placeholder, and loading templates.

Today, let’s focus on the possible triggers for such lazy loading.

idle

This is the default option. Will load the contents of that block once the browser is in an idle state:

viewport

Triggers the deferred block when its content enters the viewport. For instance, that would be when the user scrolls down, and the block becomes “visible.” Note that this option requires a placeholder (used to detect when the element comes into the viewport):

Another interesting option is to load the deferred block when another specified element makes it into the viewport using a template reference variable. That option does not require a placeholder:

interaction

Waits for the user to interact with the placeholder to load the deferred block. Even better, this trigger can be combined with another element so you can lazy-load a component on a button click, for instance:

The above code can be tested on Stackblitz here.

hover

Similar to the two previous examples. Waits for the user to hover over the placeholder or a specified element:

immediate and timer

immediate triggers the deferred block immediately as soon as Angular has finished rendering. Timer waits for a specified delay:

You can see most of these different examples on Stackblitz here. There are a few more options for @defer that I’ll cover later to keep this newsletter short and readable. It’s incredible what such a small API can do!

Async pipe, Signals, and Change Detection

Yesterday, we covered what markForCheck() can do in terms of change detection and why it could be needed at times.

Regarding best practices, I often mention using the async pipe or Signals to improve change detection and performance in our apps. Why is that? That’s because both the async pipe and Signals have some extra code to help Angular detect changes.

Here’s what we can find in the source code of the async pipe:

The last line of code indicates that whenever an async pipe receives a new value, it marks the corresponding view for check, triggering the need for change detection. That’s the reason why the async pipe works well even when used in an OnPush component: Its internals override the behavior of whatever change detection strategy we use.

Signals do something similar by marking their consumers (or “subscribers,” in a sense) as dirty when the Signal value changes:

As a result, and back to the point I was making yesterday, Instead of trying to use markForCheck() directly in our code, we should rely on the tools designed to do it automatically and in an optimized fashion for us.

Conclusion: Always use the async pipe with RxJs (you can always do so) or use Signals for an even better experience.

ChangeDetectorRef.markForCheck()

The following method call is either something you’re either very familiar with or something you’ve never heard about: ChangeDetectorRef.markForCheck()

If you’ve never heard about it, congratulations! It means you’ve been using Angular in a way that doesn’t require you to mess with change detection, and that’s an excellent thing.

On the other end of the spectrum, if you see that method in many places in your code, your architecture might have a problem. Why is that? As we covered before, there are two types of change detection: Default and onPush.

When we use onPush, we’re telling Angular: “This is a component that relies on @Input values to display its data, so don’t bother re-rendering that component when @Input do not change”.

The thing is, sometimes people start using onPush full of good intentions. Then, they start injecting services into their component, and when the data in those services change, the component does not re-render… So, instead of disabling ChangeDetection.OnPush (or figuring out a better way to keep their component as a presentation component), they go to StackOverflow, where people say: Just use ChangeDetectorRef.markForCheck(), and problem solved! Here’s a typical screenshot of such a response:

That’s because ChangeDetectorRef.markForCheck() does exactly that: It’s a way to tell Angular that something changed in our component, so Angular must check and re-render that component as soon as possible. As you can guess, this is meant to be an exception and not the rule.

The main reason why we would use ChangeDetectorRef.markForCheck() is if we integrate a non-Angular friendly 3rd party library that interacts with the DOM and changes values that Angular cannot see because Angular doesn’t manage that DOM. In other scenarios, we should avoid using it and think about a better architecture.

Perf and template syntax – Example 1

Yesterday, I sent you 3 different examples of Angular binding syntaxes and asked you to take a look at them and identify the pros and cons of each one.

Today, let’s cover the pros and cons of our first example:

Example #1 – Array of data

<div *ngFor="let data of getData()">

The only pro of this example is the simplicity of the syntax. Other than that, the syntax uses one of the anti-patterns covered earlier in this newsletter: Calling a method in a template. The problem is that this method will be called a lot more than you’d think, and if that code happened to create a new array every single time, it could be really bad in terms of performance, as Angular would have to re-render the entire list pretty much every time the user does anything in the application.

What can we do to improve it?

  1. Use a variable instead of a method – this fixes the performance issue right away:

    <div *ngFor="let data of dataList">
  2. Use a trackBy function to avoid useless re-renders. By telling Angular what’s the unique ID of each list item, Angular would be less confused, but it’s a sub-par solution:

    <div *ngFor="let data of getData(); trackBy: trackById">

Conclusion

If you want to iterate over data that’s in your component (not an observable or a Signal), then use a variable instead of calling a method. Easy enough.

Angular Change Detection Illustrated

I see a lot of confusion around Angular change detection. I compared the OnPush and Default strategies in a past post, but let’s illustrate them with visuals.

Default Change Detection

An event happening anywhere in the DOM tree will have Angular check the entire tree for changes:

OnPush Change Detection

If a hierarchy of components is using OnPush, then only that branch on OnPush components will be checked for changes:

Signal Change Detection

This is the future of Angular. When using Signals, only the views of components that use that Signal will get updated, making it the best and most accurate option:

Creating a library with Angular

You’re probably used to creating Angular applications, but what about Angular libraries?

First, it’s essential to define what an Angular library is. A library is a collection of components/pipes/directives or services bundled together that can be shared and used in multiple code repositories. As a result, Angular libraries are designed to be published on npm (publicly or privately) so they can be shared with other people externally or internally.

If you want to start a new library from scratch, these Angular CLI commands will get it done:

The above commands create a projects/my-lib folder in the workspace, with a sample component and service in it. The main difference between a library and an application is that a library exposes public features that can be imported into other libraries or applications.

Such features are listed and exported in public-api.ts in the library folder. That’s where you decide what’s public/private in your library code. In this example, the library is just one service:

Then, to test or build your library, you can use regular Angular CLI commands such as:

Once built, a library can be published to the public npm repository with one single command. This command has to be run from the dist folder where the compiled library can be found after running your production build:

Note that this command requires an npm account and npm authentication before you can publish. Upon publishing, the version number used in your package.json will be used as the public version number on npm:

And on npm’s website:

At that point, anyone can run npm install [your-library-name] and use your code in their projects. Nice and easy!

Note that the library I used in that example is a work in progress and should not be used as-is in your apps.

Directive Composition API

In the past few weeks, we’ve covered different examples of directives, such as the CDK Listbox directive and the CDK Drag and Drop directive. I have mentioned that directives are underused in Angular applications these days, and one way to use more directives is to adopt the directive composition API.

Let’s consider our previous example of a list of items:

Let’s assume we want to make our list flexible enough to support re-ordering items using drag and drop. To do so, we could start using multiple different directives on the same element, such as cdkOption and cdkDrag (code example here on Stackblitz):

While the above code works, it’s designed for a one-time use case. If we know that our application will use several droplists that support drag-and-drop, we should start thinking about creating our own custom directive that refactors these different features in one place. Enter the directive composition API:

This new directive draggableOption is composed of both cdkOption and cdkDrag to achieve the desired result. We have one input text that is forwarded to the cdkOption input thanks to this syntax:

Note that both inputs and outputs can be forwarded that way (code examples here). The beauty of this approach is that our new directive has very little code while packing reusable features in a concise syntax. This is how we would use our new directive:

You can find that example live on Stackblitz here. There are a few caveats with the directive composition API, mainly that it only works with standalone directives and that the options to “forward” inputs and outputs are limited for now. However, the composition API is an excellent option to make our code more reusable and immune to copying and pasting collections of directives from one component to another.

Introduction to State Management

When you work with Angular for quite some time, you realize that you implement similar services repeatedly. Most likely, you end up with services with BehaviorSubjects to store some data, and you have components that subscribe to these subjects exposed as read-only Observables.

If you’re not at that point yet, I suggest you stop reading this article and get into the above architecture pattern first. This is a good reading about what I call “progressive state management,” where you get into state management little by little. Start there.

Once comfortable with the above, you might start thinking about NgRx, NgXs, or other state management libraries.

Why state management?

The main goal of a state management library is to define a single way to handle data in your application. Instead of having your application data in multiple different services, all your data will belong in a single, massive object called state. That state has to follow several rules and cannot be updated directly.

State management is all about rules and conventions created by the ancestor of all state management libraries: Redux. All modern libraries use similar concepts and vocabulary.

Here are the three core principles of Redux:

  • Single source of truth: The app’s state is stored in a single object tree within a single store. In Angular applications, that store is usually a service that can be injected anywhere we want.
  • The state is read-only: The only way to change the state is to emit an action, an object describing what happened and how we want to change our state.
  • State changes are made with pure functions called reducers. These functions take the previous state, an action, and return the next state. They return new state objects instead of mutating the previous state.

Visually, a typical Redux application works like this: A user interaction triggers an action that updates the global state using a reducer, and then components receive state updates to render the new data:

I know what you’re thinking at that point: That’s a lot of definitions and vocabulary. But this is what all state management libraries give us, so there’s no way around it. For instance, here are the links to these concepts in 3 different state management libraries:

  • NgRx: State (notice how that class extends BehaviorSubject) – ActionReducer.
  • NgXs: StateActionReducer (note that NgXs does not mention reducers directly and tries to simplify how they work, which is one of the reasons why it’s my state management library of choice)
  • Redux: StateActionReducer

We’ll dive into these topics in more detail with a series of posts in the next few days/weeks.

ngOnDestroy lifecycle hook

After covering ngOnChanges and ngOnInit earlier, let’s talk about ngOnDestroy. The ngOnDestroy lifecycle hook is called when an Angular component/directive/pipe is destroyed. I’ll refer to components only in this post, but everything you read also applies to directives and pipes.

This can happen when the component is removed from the DOM, or the application is destroyed.

Most of the time, a component gets destroyed when it’s removed from the DOM as a result of:

  • A ngIf directive condition becomes false, thus hiding the element from the screen.
  • The router navigates to a different screen, thus removing the component from the DOM.

The ngOnDestroy hook is a good place to do cleanup tasks, such as unsubscribing from Observables (though there are better options to automatically unsubscribe your Observables), closing sockets, or canceling setInterval and setTimeout tasks (though you could use RxJs timer for that):

What you need to know about ngModules

Angular modules (ngModules) are a source of confusion for Angular developers. This short guide will clarify what they are and how to think about ngModules in general.

Why ngModules?

Angular uses a Typescript compiler and a template compiler that turns our HTML templates into Javascript instructions to render the DOM in a browser.

The Typescript compiler knows how to compile our Typescript code (all our classes) because all dependencies have to be imported in these Typescript files:

Compiling the HTML template for the above component is a different task because *ngIf is not imported anywhere in our Typescript code. Yet, the Angular compiler must know about all directive/component/pipe dependencies of a component’s template to turn all that HTML into DOM instructions.

The solution to that problem was the introduction of ngModules. ngModules expose features meant to be used by the template compiler and does so in a “global” way, in the sense that importing an ngModule once is enough to enable all its code for all components within that module.

That’s why we rarely think twice about using ngFor or ngIf or any pipe: They are all part of CommonModule, which is automatically imported into the AppModule by default:

Do I need to create ngModules in my app?

Most likely, no. The Angular team introduced standalone components as an alternative to ngModules. A standalone component does not need such modules because all its dependencies are listed in the Typescript code itself:

There were only two reasons why you’d need to create your own ngModules in the past:

That’s it. Both of these problems are solved by standalone components, which can be lazily loaded and already bring all their dependencies along, so no ngModule is needed.

What about core, shared, and feature modules?

Those were parts of guidelines created for the sake of consistency within Angular applications. But you don’t need these modules for your application to work. You can still organize your code neatly in folders and sub-folders and not use ngModules. You can even have tidy, short import statements without having ngModules.

Usually, the more ngModules you create, the more work and problems you’re likely to encounter (circular dependencies, anyone?), which is why the Angular team introduced standalone components and already migrated all its internal directives and pipes to standalone. In the long run, ngModules will likely disappear.